Resources Repository
-
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Preferences/Values | Value of Information | Health/Medicine | North America | Global | Health Systems | Probability/Bayes | Costing Methods | Health Outcomes | Test Performance | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Dynamic Simulation | Risk Analysis | Calibration/Validation | Health/Medicine | Global | Health Systems | Mathematical Models | Dynamic Transmission | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Policy/Regulation | Climate/Environment | Science/Technology | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
BookPublication 2012Elgar Companion to Health Economics, 2nd Edition
This collection brings together more than 50 contributions from some of the most influential researchers in …
This collection brings together more than 50 contributions from some of the most influential researchers in health economics. It covers theoretical and empirical issues in health economics, with a range of material on equity and efficiency in health care systems, health technology assessment and issues of concern for developing countries. This revised second edition is expanded to include four new chapters, while all existing chapters have been extensively updated. The Elgar Companion to Health Economics, Second Edition…
Preferences/Values | Decision Theory | Value of Information | Health/Medicine | Global | Health Systems | Probability/Bayes | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Policy/Regulation | Economics/Finance -
ArticlePublication 2020Online Competition between Pro- and Anti-Vaccination Views
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, …
Distrust in scientific expertise is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks as happened for measles in 2019. Homemade remedies and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice. There is a lack of understanding about how this distrust evolves at the system level. Authors provide a map of the contention surrounding vaccines that has…
Preferences/Values | Health/Medicine | Culture/Society | North America | Health Systems | Decision Psychology | Infectious Diseases | Social Determinants | Policy/Regulation | Government/Law | Science/Technology -
NewsPublication 2020Managing the COVID-19 Infodemic: Promoting Healthy Behaviors and Mitigating the Harm from Misinformation and Disinformation
The COVID-19 pandemic is the first in history in which technology and social media are …
The COVID-19 pandemic is the first in history in which technology and social media are being used on a massive scale to keep people safe, informed, productive, and connected. At the same time, the technology we rely on to keep connected and informed enables and amplifies an infodemic that continues to undermine the global response and jeopardizes measures to control the pandemic. This description was adapted from the joint statement.
Preferences/Values | Health/Medicine | Culture/Society | Global | Health Systems | Decision Psychology | Infectious Diseases | Social Determinants | Global Governance | Government/Law | Science/Technology -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Dynamic Simulation | Calibration/Validation | Health/Medicine | Global | Health Systems | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | Science/Technology -
ArticlePublication 2018Trading Bankruptcy for Health: A Discrete-Choice Experiment
This article in Value in Health evaluates the importance of improved health as compared to …
This article in Value in Health evaluates the importance of improved health as compared to improved financial risk protection in the general United States population. Using a discrete-choice experiment, it finds that 31.3% of the population values cure at all costs, and 8.5% of the population use financial solvency to dominate medical decision making. This study shares insight to the US population values and trade-offs between health outcomes and financial health, and highlights the difficult…
Preferences/Values | Health/Medicine | Culture/Society | North America | Health Systems | Priority Setting/Ethics | Health Outcomes | Economics/Finance -
Resource PackWeb Portal, Teaching Resource 2017Resource Pack: Valuing Vaccines and GAVI
This resource pack on valuing vaccines and GAVI was curated by the Center for Health …
This resource pack on valuing vaccines and GAVI was curated by the Center for Health Decision Science to showcase existing information and analyses to motivate students, educators and others to pursue new applications of decision science methods to the public health challenge of vaccine preventable illnesses.
Preferences/Values | Calibration/Validation | Health/Medicine | Global | Health Systems | Priority Setting/Ethics | Costing Methods | Mathematical Models | Dynamic Transmission | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Global Governance | Economics/Finance | Government/Law | Science/Technology | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Dynamic Simulation | Calibration/Validation | Health/Medicine | Global | Health Systems | Dynamic Transmission | Infectious Diseases